Add to ORKGA bound is given for the Bayes risk of an estimator under truncated squared error loss. The bound derives from an information inequality for the risk under this loss. It is then used to provide new proofs for some classical results of asymptotic theory
A parametric family of lower bounds of the Bayes risk is derived in terms of an equivocation measure...
Squared error loss remains the most commonly used loss function for constructing a Bayes estimator ...
.The aim of this paper is to give a unified approach to Cramer-Rao type inequalities for risk and Ba...
A bound is given for the Bayes risk of an estimator under truncated squared error loss. The bound de...
This paper presents lower bounds, derived from the information inequality, for the Bayes risk under ...
This paper presents lower bounds, derived from the information inequality, for the Bayes risk under ...
This paper presents lower bounds, derived from the information inequality, for the Bayes risk under ...
For a family of uniform distribution on the interval [8 - (1/2), e - (1/2)]\u27 the informationinequ...
The information inequality has been shown to be an effective tool for providing lower bounds for the...
This paper compares three methods for producing lower bounds on the minimax risk under quadratic los...
This paper compares three methods for producing lower bounds on the minimax risk under quadratic los...
This paper presents lower bounds for the minimax risk under quadraticloss, derived from information ...
Squared error loss remains the most commonly used loss function for constructing a Bayes estimator o...
Squared error loss remains the most commonly used loss function for constructing a Bayes estimator o...
The information inequality has been shown to be an effective tool for providing lower bounds for the...
A parametric family of lower bounds of the Bayes risk is derived in terms of an equivocation measure...
Squared error loss remains the most commonly used loss function for constructing a Bayes estimator ...
.The aim of this paper is to give a unified approach to Cramer-Rao type inequalities for risk and Ba...
A bound is given for the Bayes risk of an estimator under truncated squared error loss. The bound de...
This paper presents lower bounds, derived from the information inequality, for the Bayes risk under ...
This paper presents lower bounds, derived from the information inequality, for the Bayes risk under ...
This paper presents lower bounds, derived from the information inequality, for the Bayes risk under ...
For a family of uniform distribution on the interval [8 - (1/2), e - (1/2)]\u27 the informationinequ...
The information inequality has been shown to be an effective tool for providing lower bounds for the...
This paper compares three methods for producing lower bounds on the minimax risk under quadratic los...
This paper compares three methods for producing lower bounds on the minimax risk under quadratic los...
This paper presents lower bounds for the minimax risk under quadraticloss, derived from information ...
Squared error loss remains the most commonly used loss function for constructing a Bayes estimator o...
Squared error loss remains the most commonly used loss function for constructing a Bayes estimator o...
The information inequality has been shown to be an effective tool for providing lower bounds for the...
A parametric family of lower bounds of the Bayes risk is derived in terms of an equivocation measure...
Squared error loss remains the most commonly used loss function for constructing a Bayes estimator ...
.The aim of this paper is to give a unified approach to Cramer-Rao type inequalities for risk and Ba...